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This is a resouce list for low light image enhancement
[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
Awesome Person Re-identification
[ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
All NeRF-related papers @ CVPR/ICCV/ECCV/NIPS/ICML/ICLR
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Instant neural graphics primitives: lightning fast NeRF and more
ModelScope: bring the notion of Model-as-a-Service to life.
The state-of-the-art image restoration model without nonlinear activation functions.
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a ca…
A Robust and Versatile Monocular Visual-Inertial State Estimator
A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
Build and run Docker containers leveraging NVIDIA GPUs
COLMAP - Structure-from-Motion and Multi-View Stereo
A complete list of papers on anomaly detection.
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF